Maldives, Population and Housing Census 2006
TABLE MR 2 : EVER MARRIED POPULATION 15 YEARS AND OVER  BY PRESENT AGE, AGE AT FIRST MARRIAGE SEX AND LOCALITY
Locality, age and sex	Total	Age at first marriage												Not stated
		Under 15	15	16	17	18	19	20	21	22	23	24	25+
(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)	(11)	(12)	(13)	(14)	(15)
North Nilandhe Atoll (F)
Both Sexes	1,589	91	209	144	116	262	151	136	106	73	62	37	154	48
Feeali	313	17	65	37	20	67	35	19	23	9	6	1	13	1
Bilehdhoo	324	22	55	32	32	57	19	24	18	16	4	9	14	22
Magoodhoo	226	23	24	24	15	29	24	22	13	7	17	6	21	1
Dharaboodhoo	120	4	24	4	8	15	9	6	10	7	2	3	22	6
Nilandhoo	543	25	41	47	40	90	60	60	36	27	31	14	67	5
Resorts	40	0	0	0	1	2	2	2	3	4	2	2	9	13
Industrial and Other Islands	23	0	0	0	0	2	2	3	3	3	0	2	8	0
Male	681	7	21	22	36	69	67	81	71	57	46	32	141	31
Feeali	116	3	10	10	9	12	19	12	16	7	5	1	11	1
Bilehdhoo	107	0	6	4	13	13	7	12	7	11	2	8	13	11
Magoodhoo	94	1	2	3	2	10	8	14	11	5	12	6	19	1
Dharaboodhoo	53	0	1	0	3	8	4	5	3	3	2	2	20	2
Nilandhoo	248	3	2	5	8	22	25	33	28	24	23	11	61	3
Resorts	40	0	0	0	1	2	2	2	3	4	2	2	9	13
Industrial and Other Islands	23	0	0	0	0	2	2	3	3	3	0	2	8	0
Female	908	84	188	122	80	193	84	55	35	16	16	5	13	17
Feeali	197	14	55	27	11	55	16	7	7	2	1	0	2	0
Bilehdhoo	217	22	49	28	19	44	12	12	11	5	2	1	1	11
Magoodhoo	132	22	22	21	13	19	16	8	2	2	5	0	2	0
Dharaboodhoo	67	4	23	4	5	7	5	1	7	4	0	1	2	4
Nilandhoo	295	22	39	42	32	68	35	27	8	3	8	3	6	2
Resorts	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Industrial and Other Islands	0	0	0	0	0	0	0	0	0	0	0	0	0	0
North Nilandhe Atoll (F)
Both Sexes	1,589	91	209	144	116	262	151	136	106	73	62	37	154	48
15-19	40	0	2	7	3	13	11	1	0	0	0	0	0	3
20-24	171	0	0	0	0	52	35	26	31	15	11	1	0	0
25-29	206	0	1	5	4	52	22	16	23	14	24	14	31	0
30-34	196	0	31	18	22	28	17	7	15	13	8	5	32	0
35-39	203	0	58	25	25	28	17	16	5	7	3	4	15	0
40-44	182	22	18	35	16	25	12	16	12	6	5	4	11	0
45-49	157	23	21	11	18	22	14	10	8	13	2	4	11	0
50-54	86	13	16	13	9	12	7	7	3	0	2	1	3	0
55-59	75	8	14	4	4	9	6	12	1	1	2	1	13	0
60-64	73	9	15	11	3	7	2	8	0	3	2	0	13	0
65+	155	16	33	15	12	14	8	17	8	1	3	3	25	0
Not Stated	45	0	0	0	0	0	0	0	0	0	0	0	0	45
Male	681	7	21	22	36	69	67	81	71	57	46	32	141	31
15-19	12	0	2	1	1	1	3	1	0	0	0	0	0	3
20-24	32	0	0	0	0	3	1	4	9	7	7	1	0	0
25-29	91	0	0	0	1	5	6	5	12	10	15	9	28	0
30-34	87	0	0	2	2	2	9	4	14	11	7	5	31	0
35-39	64	0	0	2	2	8	10	11	5	5	2	4	15	0
40-44	87	0	0	2	9	15	12	14	11	6	4	4	10	0
45-49	74	1	4	0	6	11	9	6	8	13	2	4	10	0
50-54	37	1	3	3	6	6	4	6	3	0	2	1	2	0
55-59	37	1	1	1	1	4	5	8	1	1	2	1	11	0
60-64	35	0	1	2	2	3	2	7	0	3	2	0	13	0
65+	97	4	10	9	6	11	6	15	8	1	3	3	21	0
Not Stated	28	0	0	0	0	0	0	0	0	0	0	0	0	28
Female	908	84	188	122	80	193	84	55	35	16	16	5	13	17
15-19	28	0	0	6	2	12	8	0	0	0	0	0	0	0
20-24	139	0	0	0	0	49	34	22	22	8	4	0	0	0
25-29	115	0	1	5	3	47	16	11	11	4	9	5	3	0
30-34	109	0	31	16	20	26	8	3	1	2	1	0	1	0
35-39	139	0	58	23	23	20	7	5	0	2	1	0	0	0
40-44	95	22	18	33	7	10	0	2	1	0	1	0	1	0
45-49	83	22	17	11	12	11	5	4	0	0	0	0	1	0
50-54	49	12	13	10	3	6	3	1	0	0	0	0	1	0
55-59	38	7	13	3	3	5	1	4	0	0	0	0	2	0
60-64	38	9	14	9	1	4	0	1	0	0	0	0	0	0
65+	58	12	23	6	6	3	2	2	0	0	0	0	4	0
Not Stated	17	0	0	0	0	0	0	0	0	0	0	0	0	17
Feeali
Both Sexes	313	17	65	37	20	67	35	19	23	9	6	1	13	1
15-19	19	0	2	5	0	6	6	0	0	0	0	0	0	0
20-24	53	0	0	0	0	20	11	5	11	3	3	0	0	0
25-29	35	0	1	0	1	16	3	2	4	2	1	0	5	0
30-34	33	0	12	3	1	5	4	1	1	0	2	1	3	0
35-39	32	0	18	3	4	2	2	1	0	1	0	0	1	0
40-44	41	7	4	11	2	6	5	4	0	0	0	0	2	0
45-49	22	3	6	2	4	2	1	1	2	1	0	0	0	0
50-54	23	2	5	6	2	5	1	0	2	0	0	0	0	0
55-59	15	3	3	1	2	1	0	2	1	1	0	0	1	0
60-64	12	1	4	1	0	1	1	2	0	1	0	0	1	0
65+	27	1	10	5	4	3	1	1	2	0	0	0	0	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Male	116	3	10	10	9	12	19	12	16	7	5	1	11	1
15-19	5	0	2	1	0	0	2	0	0	0	0	0	0	0
20-24	10	0	0	0	0	1	0	0	6	1	2	0	0	0
25-29	17	0	0	0	1	0	3	2	3	2	1	0	5	0
30-34	11	0	0	1	0	1	3	1	0	0	2	1	2	0
35-39	5	0	0	0	1	0	2	0	0	1	0	0	1	0
40-44	16	0	0	0	1	5	5	3	0	0	0	0	2	0
45-49	9	0	1	0	2	1	1	1	2	1	0	0	0	0
50-54	10	1	1	2	2	1	1	0	2	0	0	0	0	0
55-59	8	1	1	1	1	0	0	2	1	1	0	0	0	0
60-64	7	0	0	1	0	1	1	2	0	1	0	0	1	0
65+	17	1	5	4	1	2	1	1	2	0	0	0	0	0
Not Stated	1	0	0	0	0	0	0	0	0	0	0	0	0	1
Female	197	14	55	27	11	55	16	7	7	2	1	0	2	0
15-19	14	0	0	4	0	6	4	0	0	0	0	0	0	0
20-24	43	0	0	0	0	19	11	5	5	2	1	0	0	0
25-29	18	0	1	0	0	16	0	0	1	0	0	0	0	0
30-34	22	0	12	2	1	4	1	0	1	0	0	0	1	0
35-39	27	0	18	3	3	2	0	1	0	0	0	0	0	0
40-44	25	7	4	11	1	1	0	1	0	0	0	0	0	0
45-49	13	3	5	2	2	1	0	0	0	0	0	0	0	0
50-54	13	1	4	4	0	4	0	0	0	0	0	0	0	0
55-59	7	2	2	0	1	1	0	0	0	0	0	0	1	0
60-64	5	1	4	0	0	0	0	0	0	0	0	0	0	0
65+	10	0	5	1	3	1	0	0	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Bilehdhoo
Both Sexes	324	22	55	32	32	57	19	24	18	16	4	9	14	22
15-19	9	0	0	1	1	3	2	1	0	0	0	0	0	1
20-24	35	0	0	0	0	15	4	5	5	4	2	0	0	0
25-29	34	0	0	1	1	8	2	4	7	3	0	4	4	0
30-34	36	0	8	7	7	4	2	3	3	1	0	0	1	0
35-39	43	0	15	5	6	10	2	3	1	0	0	0	1	0
40-44	35	6	5	7	7	2	0	0	1	3	1	2	1	0
45-49	36	5	5	2	4	5	5	4	0	4	0	2	0	0
50-54	19	5	6	3	1	2	0	0	0	0	1	0	1	0
55-59	9	0	3	0	1	1	2	0	0	0	0	0	2	0
60-64	21	5	6	3	2	2	0	2	0	1	0	0	0	0
65+	26	1	7	3	2	5	0	2	1	0	0	1	4	0
Not Stated	21	0	0	0	0	0	0	0	0	0	0	0	0	21
Male	107	0	6	4	13	13	7	12	7	11	2	8	13	11
15-19	4	0	0	0	1	0	1	1	0	0	0	0	0	1
20-24	4	0	0	0	0	0	1	1	0	1	1	0	0	0
25-29	10	0	0	0	0	1	0	0	1	1	0	3	4	0
30-34	7	0	0	0	1	0	0	1	3	1	0	0	1	0
35-39	9	0	0	0	1	2	1	3	1	0	0	0	1	0
40-44	13	0	0	1	4	1	0	0	1	3	0	2	1	0
45-49	16	0	1	0	2	2	3	2	0	4	0	2	0	0
50-54	7	0	2	1	1	2	0	0	0	0	1	0	0	0
55-59	4	0	0	0	0	1	1	0	0	0	0	0	2	0
60-64	7	0	1	0	2	1	0	2	0	1	0	0	0	0
65+	16	0	2	2	1	3	0	2	1	0	0	1	4	0
Not Stated	10	0	0	0	0	0	0	0	0	0	0	0	0	10
Female	217	22	49	28	19	44	12	12	11	5	2	1	1	11
15-19	5	0	0	1	0	3	1	0	0	0	0	0	0	0
20-24	31	0	0	0	0	15	3	4	5	3	1	0	0	0
25-29	24	0	0	1	1	7	2	4	6	2	0	1	0	0
30-34	29	0	8	7	6	4	2	2	0	0	0	0	0	0
35-39	34	0	15	5	5	8	1	0	0	0	0	0	0	0
40-44	22	6	5	6	3	1	0	0	0	0	1	0	0	0
45-49	20	5	4	2	2	3	2	2	0	0	0	0	0	0
50-54	12	5	4	2	0	0	0	0	0	0	0	0	1	0
55-59	5	0	3	0	1	0	1	0	0	0	0	0	0	0
60-64	14	5	5	3	0	1	0	0	0	0	0	0	0	0
65+	10	1	5	1	1	2	0	0	0	0	0	0	0	0
Not Stated	11	0	0	0	0	0	0	0	0	0	0	0	0	11
Magoodhoo
Both Sexes	226	23	24	24	15	29	24	22	13	7	17	6	21	1
15-19	4	0	0	0	1	2	0	0	0	0	0	0	0	1
20-24	20	0	0	0	0	3	7	4	3	0	3	0	0	0
25-29	36	0	0	4	0	8	5	2	5	1	8	1	2	0
30-34	29	0	2	4	7	5	0	3	1	2	1	1	3	0
35-39	25	0	3	5	4	3	4	0	1	2	2	0	1	0
40-44	25	4	4	4	1	3	1	1	2	1	1	2	1	0
45-49	19	7	2	2	1	1	1	1	0	1	0	0	3	0
50-54	12	2	0	1	0	1	3	3	1	0	0	1	0	0
55-59	9	1	3	0	0	0	1	0	0	0	1	1	2	0
60-64	11	3	2	3	0	0	1	0	0	0	0	0	2	0
65+	36	6	8	1	1	3	1	8	0	0	1	0	7	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	94	1	2	3	2	10	8	14	11	5	12	6	19	1
15-19	2	0	0	0	0	1	0	0	0	0	0	0	0	1
20-24	3	0	0	0	0	0	0	0	1	0	2	0	0	0
25-29	15	0	0	0	0	2	0	0	5	1	5	1	1	0
30-34	12	0	0	1	0	1	0	2	1	2	1	1	3	0
35-39	6	0	0	0	0	1	2	0	1	0	1	0	1	0
40-44	11	0	0	0	1	1	1	1	2	1	1	2	1	0
45-49	7	1	0	0	0	1	1	0	0	1	0	0	3	0
50-54	6	0	0	0	0	0	1	3	1	0	0	1	0	0
55-59	5	0	0	0	0	0	1	0	0	0	1	1	2	0
60-64	4	0	0	1	0	0	1	0	0	0	0	0	2	0
65+	23	0	2	1	1	3	1	8	0	0	1	0	6	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	132	22	22	21	13	19	16	8	2	2	5	0	2	0
15-19	2	0	0	0	1	1	0	0	0	0	0	0	0	0
20-24	17	0	0	0	0	3	7	4	2	0	1	0	0	0
25-29	21	0	0	4	0	6	5	2	0	0	3	0	1	0
30-34	17	0	2	3	7	4	0	1	0	0	0	0	0	0
35-39	19	0	3	5	4	2	2	0	0	2	1	0	0	0
40-44	14	4	4	4	0	2	0	0	0	0	0	0	0	0
45-49	12	6	2	2	1	0	0	1	0	0	0	0	0	0
50-54	6	2	0	1	0	1	2	0	0	0	0	0	0	0
55-59	4	1	3	0	0	0	0	0	0	0	0	0	0	0
60-64	7	3	2	2	0	0	0	0	0	0	0	0	0	0
65+	13	6	6	0	0	0	0	0	0	0	0	0	1	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Dharaboodhoo
Both Sexes	120	4	24	4	8	15	9	6	10	7	2	3	22	6
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	15	0	0	0	0	0	4	1	7	3	0	0	0	0
25-29	19	0	0	0	0	6	1	0	1	2	1	1	7	0
30-34	10	0	2	1	0	0	2	0	0	0	1	1	3	0
35-39	14	0	9	0	1	0	0	0	0	0	0	0	4	0
40-44	11	1	3	0	0	4	0	1	0	1	0	0	1	0
45-49	16	1	4	2	4	2	0	0	1	1	0	1	0	0
50-54	4	0	1	1	1	0	1	0	0	0	0	0	0	0
55-59	9	1	2	0	0	0	1	2	0	0	0	0	3	0
60-64	7	0	2	0	1	1	0	2	0	0	0	0	1	0
65+	9	1	1	0	1	2	0	0	1	0	0	0	3	0
Not Stated	6	0	0	0	0	0	0	0	0	0	0	0	0	6
Male	53	0	1	0	3	8	4	5	3	3	2	2	20	2
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	1	0	0	0	0	0	0	0	1	0	0	0	0	0
25-29	9	0	0	0	0	0	0	0	0	1	1	0	7	0
30-34	7	0	0	0	0	0	2	0	0	0	1	1	3	0
35-39	4	0	0	0	0	0	0	0	0	0	0	0	4	0
40-44	6	0	0	0	0	3	0	1	0	1	0	0	1	0
45-49	7	0	1	0	1	2	0	0	1	1	0	1	0	0
50-54	2	0	0	0	1	0	1	0	0	0	0	0	0	0
55-59	6	0	0	0	0	0	1	2	0	0	0	0	3	0
60-64	4	0	0	0	0	1	0	2	0	0	0	0	1	0
65+	5	0	0	0	1	2	0	0	1	0	0	0	1	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Female	67	4	23	4	5	7	5	1	7	4	0	1	2	4
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	14	0	0	0	0	0	4	1	6	3	0	0	0	0
25-29	10	0	0	0	0	6	1	0	1	1	0	1	0	0
30-34	3	0	2	1	0	0	0	0	0	0	0	0	0	0
35-39	10	0	9	0	1	0	0	0	0	0	0	0	0	0
40-44	5	1	3	0	0	1	0	0	0	0	0	0	0	0
45-49	9	1	3	2	3	0	0	0	0	0	0	0	0	0
50-54	2	0	1	1	0	0	0	0	0	0	0	0	0	0
55-59	3	1	2	0	0	0	0	0	0	0	0	0	0	0
60-64	3	0	2	0	1	0	0	0	0	0	0	0	0	0
65+	4	1	1	0	0	0	0	0	0	0	0	0	2	0
Not Stated	4	0	0	0	0	0	0	0	0	0	0	0	0	4
Nilandhoo
Both Sexes	543	25	41	47	40	90	60	60	36	27	31	14	67	5
15-19	8	0	0	1	1	2	3	0	0	0	0	0	0	1
20-24	43	0	0	0	0	12	9	10	5	4	3	0	0	0
25-29	71	0	0	0	2	13	9	8	6	4	13	6	10	0
30-34	69	0	7	3	6	14	8	0	7	6	4	1	13	0
35-39	86	0	13	12	10	13	8	11	3	4	1	4	7	0
40-44	63	4	2	13	6	9	6	8	8	1	3	0	3	0
45-49	62	7	4	3	5	12	7	4	4	6	1	1	8	0
50-54	27	4	4	2	5	4	2	3	0	0	1	0	2	0
55-59	33	3	3	3	1	7	2	8	0	0	1	0	5	0
60-64	21	0	1	4	0	3	0	2	0	1	2	0	8	0
65+	56	7	7	6	4	1	6	6	3	1	2	2	11	0
Not Stated	4	0	0	0	0	0	0	0	0	0	0	0	0	4
Male	248	3	2	5	8	22	25	33	28	24	23	11	61	3
15-19	1	0	0	0	0	0	0	0	0	0	0	0	0	1
20-24	9	0	0	0	0	0	0	2	1	4	2	0	0	0
25-29	29	0	0	0	0	1	1	3	3	3	7	3	8	0
30-34	31	0	0	0	0	0	3	0	7	4	3	1	13	0
35-39	37	0	0	2	0	5	4	7	3	4	1	4	7	0
40-44	34	0	0	1	3	4	6	7	7	1	3	0	2	0
45-49	33	0	1	0	1	5	4	3	4	6	1	1	7	0
50-54	11	0	0	0	2	3	1	2	0	0	1	0	2	0
55-59	14	0	0	0	0	3	2	4	0	0	1	0	4	0
60-64	12	0	0	0	0	0	0	1	0	1	2	0	8	0
65+	35	3	1	2	2	1	4	4	3	1	2	2	10	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Female	295	22	39	42	32	68	35	27	8	3	8	3	6	2
15-19	7	0	0	1	1	2	3	0	0	0	0	0	0	0
20-24	34	0	0	0	0	12	9	8	4	0	1	0	0	0
25-29	42	0	0	0	2	12	8	5	3	1	6	3	2	0
30-34	38	0	7	3	6	14	5	0	0	2	1	0	0	0
35-39	49	0	13	10	10	8	4	4	0	0	0	0	0	0
40-44	29	4	2	12	3	5	0	1	1	0	0	0	1	0
45-49	29	7	3	3	4	7	3	1	0	0	0	0	1	0
50-54	16	4	4	2	3	1	1	1	0	0	0	0	0	0
55-59	19	3	3	3	1	4	0	4	0	0	0	0	1	0
60-64	9	0	1	4	0	3	0	1	0	0	0	0	0	0
65+	21	4	6	4	2	0	2	2	0	0	0	0	1	0
Not Stated	2	0	0	0	0	0	0	0	0	0	0	0	0	2
Resorts
Both Sexes	40	0	0	0	1	2	2	2	3	4	2	2	9	13
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	4	0	0	0	0	2	0	0	0	1	0	1	0	0
25-29	5	0	0	0	0	0	1	0	0	1	1	1	1	0
30-34	7	0	0	0	1	0	0	0	0	2	0	0	4	0
35-39	1	0	0	0	0	0	1	0	0	0	0	0	0	0
40-44	6	0	0	0	0	0	0	2	1	0	0	0	3	0
45-49	2	0	0	0	0	0	0	0	1	0	1	0	0	0
50-54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55-59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60-64	1	0	0	0	0	0	0	0	0	0	0	0	1	0
65+	1	0	0	0	0	0	0	0	1	0	0	0	0	0
Not Stated	13	0	0	0	0	0	0	0	0	0	0	0	0	13
Male	40	0	0	0	1	2	2	2	3	4	2	2	9	13
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	4	0	0	0	0	2	0	0	0	1	0	1	0	0
25-29	5	0	0	0	0	0	1	0	0	1	1	1	1	0
30-34	7	0	0	0	1	0	0	0	0	2	0	0	4	0
35-39	1	0	0	0	0	0	1	0	0	0	0	0	0	0
40-44	6	0	0	0	0	0	0	2	1	0	0	0	3	0
45-49	2	0	0	0	0	0	0	0	1	0	1	0	0	0
50-54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55-59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60-64	1	0	0	0	0	0	0	0	0	0	0	0	1	0
65+	1	0	0	0	0	0	0	0	1	0	0	0	0	0
Not Stated	13	0	0	0	0	0	0	0	0	0	0	0	0	13
Female	0	0	0	0	0	0	0	0	0	0	0	0	0	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25-29	0	0	0	0	0	0	0	0	0	0	0	0	0	0
30-34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35-39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40-44	0	0	0	0	0	0	0	0	0	0	0	0	0	0
45-49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50-54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55-59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Industrial and Other Islands
Both Sexes	23	0	0	0	0	2	2	3	3	3	0	2	8	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	1	0	0	0	0	0	0	1	0	0	0	0	0	0
25-29	6	0	0	0	0	1	1	0	0	1	0	1	2	0
30-34	12	0	0	0	0	0	1	0	3	2	0	1	5	0
35-39	2	0	0	0	0	0	0	1	0	0	0	0	1	0
40-44	1	0	0	0	0	1	0	0	0	0	0	0	0	0
45-49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50-54	1	0	0	0	0	0	0	1	0	0	0	0	0	0
55-59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Male	23	0	0	0	0	2	2	3	3	3	0	2	8	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	1	0	0	0	0	0	0	1	0	0	0	0	0	0
25-29	6	0	0	0	0	1	1	0	0	1	0	1	2	0
30-34	12	0	0	0	0	0	1	0	3	2	0	1	5	0
35-39	2	0	0	0	0	0	0	1	0	0	0	0	1	0
40-44	1	0	0	0	0	1	0	0	0	0	0	0	0	0
45-49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50-54	1	0	0	0	0	0	0	1	0	0	0	0	0	0
55-59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Female	0	0	0	0	0	0	0	0	0	0	0	0	0	0
15-19	0	0	0	0	0	0	0	0	0	0	0	0	0	0
20-24	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25-29	0	0	0	0	0	0	0	0	0	0	0	0	0	0
30-34	0	0	0	0	0	0	0	0	0	0	0	0	0	0
35-39	0	0	0	0	0	0	0	0	0	0	0	0	0	0
40-44	0	0	0	0	0	0	0	0	0	0	0	0	0	0
45-49	0	0	0	0	0	0	0	0	0	0	0	0	0	0
50-54	0	0	0	0	0	0	0	0	0	0	0	0	0	0
55-59	0	0	0	0	0	0	0	0	0	0	0	0	0	0
60-64	0	0	0	0	0	0	0	0	0	0	0	0	0	0
65+	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Not Stated	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Ministry of Planning and National Development